Abstract: The international AI evaluation systems and their index reports contain rich information, reflecting the current state of global AI technology development and practical application. They reveal the focal points of various countries' attention towards AI and their international competitiveness, making them valuable for research. This study selects the major international AI evaluation systems according to five key principles and obtains the corresponding annual index reports. Using a comparative analysis method, the study examines aspects such as the background of reports, evaluation purposes, hierarchical structure of the indicator framework, and the logic of index source, clarifying the characteristics and differences of various AI evaluation systems. Then the study analyzes the changes in the evaluation hierarchical structure and dimensions, as well as the indicator number and content, revealing the development trends of AI technology and international concerns. The findings offer targeted insights and implications for the innovation and development of AI technology, policy formulation, and enhancing global competitiveness of China.

Key words: Artificial intelligence, Evaluation indicators, System changes, Comparative analysis, responsible AI